Repeat text N times
Generate N copies of any text joined by newline, space, comma, or no separator. Up to 10,000 repeats.
hello hello hello hello hello
How to repeat text
Generate test data, mock content, or batch payloads by repeating any string up to 10,000 times.
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Type text
What you want repeated.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.any textUTF-8Unicodecode pointsliveinput · textraw · UTF-8hello
loaded · UTF-8UTF-8 · ready - 02
Set count
1-10,000 repeats.
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
1-10000livememoisedoptionssnappycount · options5 · livehello hello hello
options applied · livelive - 03
Pick separator
Newline (lists), space (sentences), comma (CSV), none (concat).
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.4 modesline endingswhitespacediff-cleanreproduciblesep · countednewline · readyone per line
counted · livecounted - 04
Copy or download
One click.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copyclipboardtext/plainblobclient-sideexport · copiedready · done✓ Copied
shipped · ready to shipsuccess
Text-processing fundamentals worth knowing
Tokenise with Unicode classes
Use \p{L}\p{N} with the u flag so accents, ideographs, and emoji count properly.
Normalise line endings
Convert \r\n to \n before diffing or hashing — Windows-vs-Unix endings produce phantom changes.
Mind invisible characters
Zero-width joiners, BOMs, and non-breaking spaces look identical to ASCII space. Strip them before comparison or storage.
Stream don’t slurp
For multi-megabyte text, iterate line-by-line rather than loading everything to memory — keeps the tab responsive.
Choose collation deliberately
Default JS sort is code-point order, not human alphabetical. Use Intl.Collator for locale-aware sorting.
Re-run after normalisation
NFC vs NFD changes byte length but not visible glyphs. String.prototype.normalize() before counts and comparisons.
When to repeat text
Mock data, stress tests, batch payloads.
Mock data
Generate 100 test users by repeating a JSON object. Tokenisation uses Unicode property classes (\p{L}, \p{N}) with the u flag so accents, ideographs, and emoji code points all count correctly. Surrogate-pair-aware counts mean 🚀 weighs 1, not 2.
Unicode-correctLength tests
Repeat 'x' 1000 times for character-limit testing. Result updates as you type — paste and watch totals settle in milliseconds even on multi-megabyte inputs. Heavy work runs through a memoised reducer so the editor never janks.
diff-cleanBatch payloads
10 copies of a webhook payload, comma-separated. Output normalises line endings to LF for clean diffs across platforms. Windows-vs-Unix CRLF mismatches disappear, which keeps git blame honest and review comments focused on real changes.
instant countsCSV padding
Add N empty rows to a fixture file. Code-point counts are stable across NFC/NFD normalisation. Pair with the Reading Time Calculator to layer scan-time on top of raw counts, useful for editorial budgets and SEO meta-description limits.
platform-awareASCII art
Generate horizontal/vertical lines from a single char. All processing runs client-side — paste sensitive or pre-publish copy without it leaving the tab. The clipboard API writes UTF-8 text/plain so it survives transit to any editor or CMS.
code-point-accurateDDoS-the-limit
Try the upper bound of a max-length field. Same input plus same options always produces identical output, so the tool is safe to embed in CI scripts or doc-generation pipelines without race conditions.
losslessFrequently asked questions
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